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Quantitative Developer Jobs in Pennsylvania

Analytics Engineer - Locals to Philadelphia PA

Intone Networks

  • Philadelphia, PA
  • 4 days ago

    Highlights

    This role offers the opportunity to work onsite with a team delivering enterprise data solutions, with potential for conversion to a permanent hire at the conclusion of the contract. Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, or a related field.

    Numbers & Facts

    LocationPhiladelphia, PA

    Description

    We are seeking an Analytics Engineer for a 12-month contract position based in Philadelphia, Pennsylvania. This role offers the opportunity to work onsite with a team delivering enterprise data solutions, with potential for conversion to a permanent hire at the conclusion of the contract.

    Responsibilities

    • Design and maintain dimensional data models and curated datasets.
    • Develop automated, scalable ELT pipelines.
    • Implement data quality monitoring, testing, and automation.
    • Partner with business users, analysts, and data scientists to deliver analytics solutions.
    • Support BI platforms, reporting, and dashboard migrations.
    • Use software development best practices including Git, code reviews, and CI/CD.
    • Collaborate with Data Engineering, DevOps, and Architecture teams.
    • Participate in Agile/Scrum ceremonies and production support.

    Qualifications

    • Required

    • 6+ years in Data Analytics, Analytics Engineering, BI, or Data Engineering.

    • Advanced SQL skills, including complex transformations and performance tuning.

    • Strong Data Warehousing and Dimensional Data Modeling experience.

    • Experience designing and maintaining Fact and Dimension tables.

    • Hands-on experience with Snowflake.

    • Experience developing analytics models using dbt.

    • Experience with data quality testing and validation.

    • Experience with Git, code reviews, and CI/CD.

    • Experience with BI tools such as Power BI, Tableau, Qlik, or Business Objects.

    • Experience with big data technologies such as Spark, Hadoop, Kafka, Hive, or Sqoop.

    • Experience building and consuming APIs.

    • Linux experience (RHEL/Debian).

    • Scripting experience using Python, Bash, or similar languages.

    • Strong analytical and problem-solving skills.

    • Experience working in Agile environments.

    • Preferred

    • 8+ years in data and analytics.

    • Experience with Cloud platforms (AWS, Azure, or GCP).

    • Experience with Apache Airflow or similar orchestration tools.

    • Experience supporting BI migrations to Power BI.

    • Experience with semantic models and analytics engineering best practices.

    • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, or a related field.

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